MCP Server Deployment

mcp-server-deployment

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "adarshchaudhary03-mcp-server-deployment": {
      "command": "uvx",
      "args": [
        "--directory",
        "/Users/adarshchaudhary/Desktop/ai-projects/mcp-servers/mcp-server-deployment",
        "--from",
        "git+https://github.com/AdarshChaudhary03/mcp-server-deployment",
        "mcp-server"
      ]
    }
  }
}

The Model-Context-Protocol (MCP) lets a local AI model or agent securely access and act on your development environment by invoking tools exposed by a server. This enables you to perform tasks, retrieve data, and automate workflows right from an AI-enabled client while keeping execution contained within trusted tools you control.

How to use

You run a local MCP server and connect an MCP client to it. The server exposes tools the client can call, such as a function to add two numbers. You can build workflows by chaining tool calls and using the local context available to the client.

Available tools

add

A tool that takes two integers and returns their sum. This demonstrates a simple function exposed by the MCP server, illustrating how a client can invoke a local operation and receive a computed result.